HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC
Geekbench ML Score
2881
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC |
| Motherboard | HP 8BEF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1682
314.8 IPS |
|
|
Image Classification (F16)
|
100% |
1689
316.1 IPS |
|
|
Image Classification (I8)
|
97% |
2340
437.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1558
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1582
26.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
1998
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4844
5.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
4958
6.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
8687
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1572
117.3 IPS |
|
|
Object Detection (F16)
|
100% |
1614
120.5 IPS |
|
|
Object Detection (I8)
|
60% |
1486
110.9 IPS |
|
|
Face Detection (F32)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (F16)
|
100% |
3630
43.2 IPS |
|
|
Face Detection (I8)
|
87% |
3511
41.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6053
46.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5970
46.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
7914
61.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12448
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11979
15.8 IPS |
|
|
Style Transfer (I8)
|
85% |
14579
19.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2660
95.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2644
94.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3129
111.8 IPS |
|
|
Text Classification (F32)
|
100% |
1310
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1369
1.97 KIPS |
|
|
Text Classification (I8)
|
94% |
411
591.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1670
30.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1909
35.1 IPS |
